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FeatureUnion — scikit-learn 1.8.0 documen...
svd__n_components = 1 ) . fit_transform ( X ) array([[-1.5 , 3.04], [ 1.5 , 5.72]])...unchanged. Added in version 1.1: Added the option "passthrough"...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
TargetEncoder — scikit-learn 1.8.0 docume...
1 ] * 15 + [ 20.4 ] * 5 + [ 20.1 ] * 25 + [ 21.2...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 On this...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html -
inplace_csr_column_scale — scikit-learn 1...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html -
DictionaryLearning — scikit-learn 1.8.0 d...
1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...version 1.2: When None, default value changed from 1.0 to alpha...scikit-learn.org/stable/modules/generated/sklearn.decomposition.DictionaryLearning.html -
Sum — scikit-learn 1.8.0 documentation
y ) 1.0 >>> kernel 1.41**2 + RBF(length_scale=1) __call__...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html -
silhouette_score — scikit-learn 1.8.0 doc...
The best value is 1 and the worst value is -1. Values near 0 indicate...<= n_labels <= n_samples - 1 . This function returns the mean...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
make_gaussian_quantiles — scikit-learn 1....
dataset is from Zhu et al [1] . References [ 1 ] J. Zhu, H. Zou, S....es ( * , mean = None , cov = 1.0 , n_samples = 100 , n_features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
ParameterSampler — scikit-learn 1.8.0 doc...
'a' : 1 }, ... { 'b' : 0.923223 , 'a' : 1 }, ......'b' : 1.878964 , 'a' : 2 }, ... { 'b' : 1.038159...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html -
Matern — scikit-learn 1.8.0 documentation
kernel = 1.0 * Matern ( length_scale = 1.0 , nu = 1.5 ) >>>...length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5 )...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
precision_recall_curve — scikit-learn 1.8...
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...0.66666667, 0.5 , 1. , 1. ]) >>> recall array([1. , 1. , 0.5,...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html